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Found 3 papers, 1 papers with code
Generalized Neural Sorting Networks with Error-Free Differentiable Swap Functions
Sorting is a fundamental operation of all computer systems, having been a long-standing significant research topic.
Semi-supervised Domain Adaptation via Sample-to-Sample Self-Distillation
Semi-supervised domain adaptation (SSDA) is to adapt a learner to a new domain with only a small set of labeled samples when a large labeled dataset is given on a source domain.
Pair-based Self-Distillation for Semi-supervised Domain Adaptation
Semi-supervised domain adaptation (SSDA) is to adapt a learner to a new domain with only a small set of labeled samples when a large labeled dataset is given on a source domain.
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